Franklin Templeton: AI research worked once data had a semantic layer

In an OpenAI customer story, Franklin Templeton says its first try, connecting models to a database, did not give useful answers because the models did not understand how the data fit together. Adding agents and a semantic layer, a structured model of what the firm's data means and how it connects, changed the results. Codex is one of several tools its investment teams use, starting with equity research, and experiments move to production through security review, expert support and data controls. This is a vendor case study with no figures, so treat it as one firm's account.